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Prediction of live formation water densities from petroleum reservoirs with pressure-dependent seawater density correlations
- Source :
- DYNA. 87:165-172
- Publication Year :
- 2020
- Publisher :
- Universidad Nacional de Colombia, 2020.
-
Abstract
- espanolEstudiamos dos correlaciones de densidad desarrolladas para aguas de mar a altas presiones como modelos potenciales para predecir densidades de aguas de formacion de yacimientos petroleros en funcion de salinidad, presion, contenido de gas y temperatura. Las correlaciones fueron probadas contra densidades experimentales, medidas a altas presiones, para aguas vivas de formacion muestreadas en condiciones de fondo de pozo. Como resultado se encontro que una de estas correlaciones de agua de mar era particularmente prometedora para predecir las densidades de agua de formacion para estas muestras, incluso fuera del rango de presion originalmente reportado para dicho modelo EnglishWe studied two density correlations developed for seawater at high pressures as potential models to predict formation water densities from petroleum reservoirs as a function of salinity, pressure, gas content, and temperature. The correlations were tested against experimental densities measured at high pressures for live formation waters sampled under bottomhole conditions from five petroleum reservoirs. As a result, one of these seawater correlations was found to be particularly promising to predict formation water densities for these samples, even out of the pressure range originally reported for such a model
- Subjects :
- General Engineering
02 engineering and technology
Pressure dependent
010501 environmental sciences
01 natural sciences
chemistry.chemical_compound
020401 chemical engineering
chemistry
Formation water
Petroleum
Environmental science
Seawater
0204 chemical engineering
Geomorphology
0105 earth and related environmental sciences
Subjects
Details
- ISSN :
- 23462183 and 00127353
- Volume :
- 87
- Database :
- OpenAIRE
- Journal :
- DYNA
- Accession number :
- edsair.doi...........c18cd44f94ecba143db02645bae8909a
- Full Text :
- https://doi.org/10.15446/dyna.v87n213.80967